2011
DOI: 10.1007/s00034-011-9374-x
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Sliding Mode Observer-Based Fault Detection of Distributed Networked Control Systems with Time Delay

Abstract: This paper considers the fault detection problem of distributed networked control systems (DNCS) with time delay. A sliding mode observer-based fault detection method for a two-level DNCS is presented and two different situations are considered. When all the states of the system are available for measurement, we convert the fault detection problem to a sliding motion stable and reachable problem. When some states of system are not available for measurement, we design a transformation matrix to separate the mea… Show more

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Cited by 21 publications
(9 citation statements)
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“…Thus, using the equations (23), (24) and (25), the system (1) can be written as: the state vector of the new augmented system and T 1 2 3 y C [C C C C ]     its output vector. Imposing the constraint n = N+1, we can deduce that the dynamics of the lumped system can be written as: …”
Section: Approximation Error Analysismentioning
confidence: 99%
“…Thus, using the equations (23), (24) and (25), the system (1) can be written as: the state vector of the new augmented system and T 1 2 3 y C [C C C C ]     its output vector. Imposing the constraint n = N+1, we can deduce that the dynamics of the lumped system can be written as: …”
Section: Approximation Error Analysismentioning
confidence: 99%
“…The significant advantages of SMC are: i) fast response and good transient performance; ii) its robustness against a large class of perturbations or model uncertainties; and iii) the possibility of stabilizing some complex nonlinear systems which are difficult to stabilize by continuous state feedback laws. Hence, during the past decades, SMC has received a lot of attention by the control community for different type of systems such as uncertain stochastic delay systems [1], uncertain linear discrete systems independent of time-delay [2], singular stochastic hybrid systems [3], linear systems with time-varying input and state delays [4], systems with mismatched uncertainties [5], distributed networked control systems [6], uncertain stochastic nonlinear systems with unknown dead zone [7], MIMO nonlinear systems [8,9], stochastic nonlinear strictfeedback systems [10], and uncertain linear systems with quantization [11].…”
Section: Introductionmentioning
confidence: 99%
“…Since, the diagnosis of these systems is very complicated and pertinent. Relatively, the FDI of the uncertain time-delay systems using a SMO is rarely approached in papers (Chen, 2008;Mao et al, 2009;Liu et al, 2011;Zong et al, 2012;Han et al, 2013;Boulaabi et al, 2015).…”
Section: Introductionmentioning
confidence: 99%